Min Ma
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 12
- Topic Modeling 7
- Natural Language Processing Techniques 6
- Speech and dialogue systems 3
-
- Advanced Radiotherapy Techniques 6
- Co-authors
- Yu Zhang (3 shared papers)Alexis Conneau (1 shared paper)Ankur Bapna (2 shared papers)Clara E. Rivera (1 shared paper)Jason Riesa (2 shared papers)Simran Khanuja (1 shared paper)Siddharth Dalmia (2 shared papers)Vera Axelrod (2 shared papers)
- Journals
- Journal of Applied Clinical Medical Physics (5 papers)Physica Medica (1 paper)Medical Physics (1 paper)Current Biology (1 paper)Technology in Cancer Research & Treatment (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Min Ma
31 papers receiving 335 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 92
- Artificial Intelligence 244
- Experimental and Cognitive Psychology 35
- Radiation 20
- Cognitive Neuroscience 33
Countries citing papers authored by Min Ma
This map shows the geographic impact of Min Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Min Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ma more than expected).
Fields of papers citing papers by Min Ma
This network shows the impact of papers produced by Min Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Min Ma. The network helps show where Min Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 88 | |
| 2 | 2018 | 43 | |
| 3 | 2021 | 41 | |
| 4 | 2022 | 31 | |
| 5 | 2020 | 24 | |
| 6 | 2017 | 20 | |
| 7 | 2018 | 19 | |
| 8 | 2016 | 18 | |
| 9 | 2014 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2011 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 3 | |
| 20 | CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | 2015 | 3 |
About Min Ma
Min Ma is a scholar working on Artificial Intelligence, Radiation, Signal Processing, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 377 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (12 papers), Topic Modeling (7 papers), Advanced Radiotherapy Techniques (6 papers), Natural Language Processing Techniques (6 papers), Speech and dialogue systems (3 papers), Music and Audio Processing (3 papers), Capital Investment and Risk Analysis (2 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Signal Processing (92 citations), Artificial Intelligence (244 citations), Experimental and Cognitive Psychology (35 citations), Radiation (20 citations) and Cognitive Neuroscience (33 citations). Min Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yu Zhang, Alexis Conneau, Ankur Bapna, Clara E. Rivera, Jason Riesa, Simran Khanuja, Siddharth Dalmia, Vera Axelrod, Andrew Rosenberg and Jianrong Dai. Their work appears in journals such as Journal of Applied Clinical Medical Physics, Physica Medica, Medical Physics, Current Biology and Technology in Cancer Research & Treatment.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.